Modeling Applied AI ML Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Posted: 107 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $214k

$160k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $173,200–$254,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Modeling Applied AI ML Senior Associate

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As a Chase Modeling - Applied AI ML Senior Associate within the Consumer Business Modeling team, you will join a diverse group of economists, statisticians, and engineers focused on applied AI and quantitative modeling. You will manage the full modeling lifecycle by defining objectives, selecting methodologies, and performing advanced statistical analysis on large-scale structured and unstructured datasets to solve complex business problems. Your daily work involves generating actionable insights from consumer data and communicating results to senior management through clear presentations. You will utilize Python, and potentially Hadoop, Spark, or cloud development platforms to build machine learning models including classification, regression, recommender systems, and natural language processing. This role requires an advanced degree in a quantitative field and expertise in optimization and statistical modeling to address multifaceted challenges within the banking and financial services domain.

Skills

Machine Learning Python Optimization Natural Language Processing Neural Language Modeling Recommender Systems Regression Classification Hadoop Spark big-data

What you'll do

Perform advanced analytics to solve complex and multi-faceted business problems.
Analyze large datasets to generate insights and actionable recommendations for business processes.
Manage the full modeling lifecycle from defining objectives to selecting methodologies and performing statistical analysis.
Develop presentations to communicate key findings and messages to senior management and stakeholders.
Serve as a subject matter expert in statistical, optimization, or machine learning modeling disciplines.
Build machine learning, optimization, and statistical models to solve real-world problems.
Process and analyze large-scale structured and unstructured data.

What we're looking for

Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or an equivalent quantitative field.
A Ph.D. is considered a plus for this role.
Experience developing machine learning, optimization, and/or statistical models to solve real-world problems.
Proficiency in at least one programming language, with Python being the preferred choice.
Significant experience working with very large scale structured and unstructured data.
Outstanding written and oral communication skills to present findings and influence stakeholders.
Strong analytical, interpretive, and problem-solving skills.
Familiarity with big-data environments, cloud development platforms, or a banking and financial services background is preferred.